Praveen Sharma

National Institute of Science Technology and Development Studies, New Dilli, NCT, India

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Publications (9)14.71 Total impact

  • Source
    K C Garg, Praveen Sharma, Suresh Kumar
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    ABSTRACT: An analysis of 369 items published in Mausam during 2003-2006 indicates that 72% items were papers, 23% letters to the editor, 4% report on "Weather in India" and the rest 1% as articles. Indian researchers belonging to India Meteorological Department contributed most of the items. Climatology, agricultural and environmental meteorology, synoptic meteorology, hydrometeorology, numerical weather forecasting and physical meteorology constituted about 56 % of the total output. Time lag between receipt and acceptance of the manuscript is about 11 months, while the time lag between acceptance and publication of the manuscript is about 9. Editorial board members belonged to domestic institutions. The references cited by the journal are mostly international like other journals in the field. However, majority of the citations are older than 10 years. Based on the pattern of citations the journal received in the international literature its impact factor for 2005 and 2006 is almost the same (0.19). However, of the 49 Indian journals indexed by SCI-E in 2005, 18 have impact factor less than or equal to Mausam.
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    ABSTRACT: The paper discusses the application of three well-known growth models, namely exponential, logistic, and power to the growth of world literature in physics, chemistry, and electrical & electronic engineering research, as reflected in international databases in these three fields from 1907 to 1994. The growth models are classified and characterised on the basis of two growth-rate functions as suggested by Egghe and Rao 9 . The methodology suggested by Egghe and Rao in identifying a growth model has been reviewed with the help of case studies on the growth of literature in the three major fields. The results obtained through the analysis are not found to be in full agreement with the results expected using Egghe & Rao methodology. The present study emphasises the need to undertake more rigorous research on the time series data on publications growth of various fields to test the utility of these growth rate functions.
    03/2002; 22(2). DOI:10.14429/dbit.22.2.3560
  • M. M. S. Karki, K. C. Garg, Praveen Sharma
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    ABSTRACT: The paper investigates Indian organic chemistry research activity during 1971–1989 using Chemical Abstracts. It attempts at quantification of national contribution to world efforts, and identify areas of relative strengths and weaknesses. Also models the growth of Indian organic chemistry output to world organic chemistry output as a whole and in sub-fields where the activity index for the world and India are similar.
    Scientometrics 01/2000; 49(2):279-288. DOI:10.1023/A:1010521203335 · 2.27 Impact Factor
  • B. M. Gupta, Praveen Sharma, Suresh Kumar
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    ABSTRACT: The paper deals with the nature of growth models currently used in the literature for modeling the growth of publications. It introduces briefly three growth models and explores the applicability of these models in the growth of world and Indian physics literature. The analysis suggests that the growth of Indian physics literature follows a logistic model, while the growth of world physics literature is explained by a combination of logistic and power models. The criteria for selection of growth models based on the new growth rate functions suggested by Egghe and Ravichandra Rao are given. The methodology suggested by Egghe and Ravichandra Rao is shown to work satisfactorily, except for longer time series growth data, when we may have to restore to data splitting approach, if suggested by the plots of new growth rate functions. This approach helped us to use a combination of two growth models instead of one, to explain the growth of world physics literature.
    Scientometrics 01/1999; 44(1). DOI:10.1007/BF02458474 · 2.27 Impact Factor
  • Suresh Kumar, Praveen Sharma, K.C. Garg
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    ABSTRACT: The present study aims at determining the applicability of Lotka's law, negative binomial distribution and lognormal distribution for institutional productivity, in the same way as it is to authors and their productivity in the field of engineering sciences and the patents filed by industrial firms in laser S&T. The study indicates that non of the three distributions are applicable for institutional productivity in engineering sciences. However, Lotka's law holds good for full as well as truncated set of data for the patents filed by industrial firms.
    Information Processing & Management 11/1998; 34(6-34):775-783. DOI:10.1016/S0306-4573(98)00027-2 · 1.07 Impact Factor
  • Ashok Jain, K. C. Garg, Praveen Sharma, Suresh Kumar
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    ABSTRACT: The paper assesses impact of Science and Engineering Research Council (SERC) funding in chemical sciences during 1976–1989 using scientometric techniques. Other indicators like awards won, fellowship to prestigious academies, membership to editorial boards received by the project investigators, Ph.D. degrees awarded, collaborations established and new courses introduced due to SERC funding have also been analyzed. The study indicates that activity index of research out put in various frontier areas of chemical sciences have gone up despite a decrease in Indian activity index in these areas. The growth pattern of papers for “Organometallic and Organometalloidal Compounds” are similar for India and world. Contribution of SERC's project investigators in high impact factor (≥2) journals and the citations received by the papers published by them are higher than Indian contributions in chemical sciences. The SERC funding has resulted in a three fold increase in the number of Ph.D. degrees awarded in chemical sciences and SERC project investigators have won many prestigious awards, fellowship to academies and membership of the editorial board of the journals. The SERC funded research has also resulted in new courses at various universities.
    Scientometrics 02/1998; 41(3):357-370. DOI:10.1007/BF02459051 · 2.27 Impact Factor
  • B. M. Gupta, Praveen Sharma, C. R. Karisiddappa
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    ABSTRACT: The paper discusses the application of three well known diffusion models and their modified versions to the growth of publication data in four selected fields of S&T. It is observed that all the three models in their modified versions generally improve their performance in terms of parameter values, fit statistics, and graphical fit to the data. The most appropriate model is generally seen to be the modified exponential-logistic model.
    Scientometrics 11/1997; 40(3):507-528. DOI:10.1007/BF02459297 · 2.27 Impact Factor
  • K. C. Garg, Praveen Sharma, Lalita Sharma
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    ABSTRACT: Based on the data of growth of literature in the field of solar power, the present paper investigates the stage of evolution at which the scattering of articles over journals is similar to Bradford's curve, i.e. the stage at which Bradford's law is valid. Traces the related changes that take place in the size and elements of the core during the evolution and growth of literature. The study reveals that a curve similar to Bradford's curve is obtained when the field matures. The finding has been supported with the help of a simple mathematical model.
    Scientometrics 06/1993; 27(2). DOI:10.1007/BF02016547 · 2.27 Impact Factor
  • K. C. Garg, Praveen Sharma
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    ABSTRACT: An analysis of the output of the literature scanned in Engineering Index during 1970–84 on solar power research indicates that the growth of the literature had been vigorous after the energy crisis in 1973 till 1982. The number of papers at conferences are quite close to the number of references in journals. The area of solar collectors and solar cells has received maximum attention. Publication output of literature by different countries follows the trend in basic sciences with USA being the major producer. The research activity became global after the energy crisis. Performance of the developed countries is low in some fields of solar power.
    Scientometrics 01/1991; 21(2):147-157. DOI:10.1007/BF02017565 · 2.27 Impact Factor

Publication Stats

55 Citations
14.71 Total Impact Points

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Institutions

  • 1993–2008
    • National Institute of Science Technology and Development Studies
      New Dilli, NCT, India
  • 2000
    • National Science Communication Institute
      Seattle, Washington, United States
  • 1997–1999
    • National Institute of Pharmaceutical Education and Research
      Mohali, Punjab, India