Mahesh Chander

809 total citations
99 papers, 402 citations indexed

About

Mahesh Chander is a scholar working on General Agricultural and Biological Sciences, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Mahesh Chander has authored 99 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in General Agricultural and Biological Sciences, 53 papers in Agronomy and Crop Science and 43 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Mahesh Chander's work include Livestock Management and Performance Improvement (49 papers), Agricultural Economics and Practices (43 papers) and Agricultural Systems and Practices (42 papers). Mahesh Chander is often cited by papers focused on Livestock Management and Performance Improvement (49 papers), Agricultural Economics and Practices (43 papers) and Agricultural Systems and Practices (42 papers). Mahesh Chander collaborates with scholars based in India, Indonesia and China. Mahesh Chander's co-authors include Arindam Sen, Sanjay Kumar, Triveni Dutt, Yogesh C. Bangar, Shweta Sinha, Reena Mukherjee, Yashpal Singh, Jeffery W. Bentley, Andrew M. Hammermeister and Birbal Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers and Electronics in Agriculture and Preventive Veterinary Medicine.

In The Last Decade

Mahesh Chander

78 papers receiving 356 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mahesh Chander India 12 158 147 90 37 36 99 402
Patrick Irungu Kenya 13 167 1.1× 72 0.5× 101 1.1× 43 1.2× 20 0.6× 56 492
C. Garforth United Kingdom 10 146 0.9× 80 0.5× 70 0.8× 13 0.4× 26 0.7× 27 389
Nicholas Ndiwa Kenya 11 133 0.8× 94 0.6× 129 1.4× 75 2.0× 34 0.9× 33 425
John Ilukor Uganda 12 84 0.5× 97 0.7× 54 0.6× 45 1.2× 38 1.1× 36 405
Lovemore Musemwa Zimbabwe 12 134 0.8× 59 0.4× 92 1.0× 88 2.4× 30 0.8× 29 426
Kathleen Earl Colverson United States 10 141 0.9× 37 0.3× 54 0.6× 39 1.1× 14 0.4× 19 341
Vinod Ahuja India 10 78 0.5× 114 0.8× 51 0.6× 41 1.1× 30 0.8× 18 322
Asfaw Negassa Ethiopia 11 147 0.9× 100 0.7× 96 1.1× 66 1.8× 35 1.0× 24 459
A.W. Mukhebi Kenya 13 51 0.3× 117 0.8× 209 2.3× 22 0.6× 31 0.9× 34 520
W.R. Thorpe Zimbabwe 12 134 0.8× 163 1.1× 113 1.3× 50 1.4× 22 0.6× 38 381

Countries citing papers authored by Mahesh Chander

Since Specialization
Citations

This map shows the geographic impact of Mahesh Chander's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mahesh Chander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahesh Chander more than expected).

Fields of papers citing papers by Mahesh Chander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahesh Chander. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mahesh Chander. The network helps show where Mahesh Chander may publish in the future.

Co-authorship network of co-authors of Mahesh Chander

This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Chander. A scholar is included among the top collaborators of Mahesh Chander based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mahesh Chander. Mahesh Chander is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Chander, Mahesh, et al.. (2020). Identification of stakeholders who influence buffalo development in Haryana. Journal of Entomology and Zoology Studies. 8(6). 1779–1781. 1 indexed citations
3.
Singh, Brijesh, et al.. (2018). Contributory influence of training intervention on attitude formation of dairy animal owners towards dairy farming.. Indian Research Journal of Extension Education. 18(2). 72–77.
4.
Chander, Mahesh, et al.. (2017). A scale to measure attitude of farmers towards social media use in agricultural extension.. Indian Research Journal of Extension Education. 17(3). 10–15. 4 indexed citations
5.
Chander, Mahesh, et al.. (2016). Use of mobiles in dairying for information dissemination: A multi-stakeholder analysis in India. The Indian Journal of Animal Sciences. 86(3). 1 indexed citations
6.
Chander, Mahesh, et al.. (2016). Perception of dairy farmers towards attributes of dairy innovations in North India.. ˜The œIndian journal of veterinary sciences and biotechnology. 11(3). 25–29. 1 indexed citations
7.
Chander, Mahesh, et al.. (2015). Constraints perceived by the dairy farmers in adoption of scientific dairy farming practices in Sikar district.. ˜The œIndian journal of veterinary sciences and biotechnology. 11(1). 17–19. 1 indexed citations
8.
Chander, Mahesh, et al.. (2015). Constraints perceived by tribal backyard poultry rearers in Bastar district of Chhattisgarh. Indian Journal of Poultry Science. 50(1). 120–121.
9.
Chander, Mahesh, et al.. (2014). Risk perceptions and risk management strategies of insured and non-insured dairy farmers: A comparative study. The Indian Journal of Animal Sciences. 84(6). 694–698. 2 indexed citations
10.
Chander, Mahesh, et al.. (2014). Assessment of training needs of broiler poultry farmers in Barabanki district of Uttar Pradesh. Indian Journal of Poultry Science. 50(2). 208–212. 1 indexed citations
11.
Chander, Mahesh, et al.. (2014). Rural Telecentres as Innovation Brokers in Livestock Innovation System in India: A Review. Indian Research Journal of Extension Education. 14(3). 14–23. 3 indexed citations
12.
Chander, Mahesh, et al.. (2013). Vaccination strategy for prevention and control of economically important livestock diseases in Karnataka. 8(4). 29–33. 3 indexed citations
13.
Sharma, Alok, et al.. (2013). Adoption of scientific backyard poultry rearing practices in hills of Himachal Pradesh. Indian Journal of Poultry Science. 48(3). 357–361.
14.
Verma, Anoop, et al.. (2012). Information Seeking and Sharing Behaviour of the Farmers-a case Study of Uttar Pradesh State, India. 1(2). 50–55. 5 indexed citations
15.
Sharma, Alok, et al.. (2012). High altitude livestock farming: a participatory appraisal in Himachal Pradesh, India.. The Indian Journal of Animal Sciences. 82(6). 644–648. 8 indexed citations
16.
Chander, Mahesh, et al.. (2010). Livestock technology transfer service in India: A review. The Indian Journal of Animal Sciences. 80(11). 1115–1125. 27 indexed citations
17.
Kumar, Sanjeev & Mahesh Chander. (2009). LIVESTOCK FARMERS PERCEPTION ON PUBLIC VETERINARY SERVICE DELIVERY IN ANDHRA PRADESH. The Indian Veterinary Journal. 86(3). 297–298. 1 indexed citations
18.
Chander, Mahesh, et al.. (2009). Farmers' attitude towards utilization of draught bullocks in Indian agriculture.. Livestock research for rural development. 21(5). 3 indexed citations
19.
Chander, Mahesh, et al.. (2009). Constraints perceived by dairy farmers in accessing ICT-enabled village information centres.. Indian Journal of Animal Research. 43(4). 282–284.
20.
Sasidhar, P. V. K., et al.. (2008). Adoption behaviour of Giriraja backyard poultry by farmers in Karnataka. Indian Journal of Poultry Science. 43(3). 343–345. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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