J. P. Verma

2.3k total citations
105 papers, 1.2k citations indexed

About

J. P. Verma is a scholar working on Plant Science, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, J. P. Verma has authored 105 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 12 papers in Artificial Intelligence and 11 papers in Molecular Biology. Recurrent topics in J. P. Verma's work include Plant Pathogenic Bacteria Studies (19 papers), Plant Virus Research Studies (11 papers) and Plant-Microbe Interactions and Immunity (9 papers). J. P. Verma is often cited by papers focused on Plant Pathogenic Bacteria Studies (19 papers), Plant Virus Research Studies (11 papers) and Plant-Microbe Interactions and Immunity (9 papers). J. P. Verma collaborates with scholars based in India, United States and Vietnam. J. P. Verma's co-authors include Abdel‐Salam G. Abdel‐Salam, Smita Agrawal, Kavindra Nath Tiwari, Atul Patel, Kangmin Kim, Abhinav Aeron, Ashok Kumar, Vijay Singh Meena, Vivek K. Bajpai and Bankim Patel and has published in prestigious journals such as IEEE Transactions on Automatic Control, Applied Microbiology and Biotechnology and Annual Review of Phytopathology.

In The Last Decade

J. P. Verma

96 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. P. Verma India 14 454 130 112 88 77 105 1.2k
Marcin Kozak Poland 23 640 1.4× 123 0.9× 118 1.1× 65 0.7× 102 1.3× 147 1.8k
Anil Kumar India 20 731 1.6× 104 0.8× 68 0.6× 62 0.7× 74 1.0× 393 2.0k
Siva Ganesh New Zealand 24 445 1.0× 332 2.6× 68 0.6× 17 0.2× 151 2.0× 89 2.0k
Yonis Gulzar Saudi Arabia 26 721 1.6× 59 0.5× 337 3.0× 202 2.3× 63 0.8× 109 1.9k
Robert M. Aiken United States 25 803 1.8× 81 0.6× 116 1.0× 137 1.6× 111 1.4× 134 2.0k
Christian Kohl Germany 16 226 0.5× 349 2.7× 75 0.7× 42 0.5× 58 0.8× 40 1.2k
Richard M. Johnson United States 27 709 1.6× 59 0.5× 71 0.6× 25 0.3× 223 2.9× 122 2.6k
Huirong Zhang China 19 107 0.2× 250 1.9× 68 0.6× 36 0.4× 53 0.7× 61 1.2k
Robert M. Hayes United States 25 1.3k 2.8× 229 1.8× 180 1.6× 285 3.2× 104 1.4× 141 2.2k

Countries citing papers authored by J. P. Verma

Since Specialization
Citations

This map shows the geographic impact of J. P. Verma'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 J. P. Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. P. Verma more than expected).

Fields of papers citing papers by J. P. Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. P. Verma. 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 J. P. Verma. The network helps show where J. P. Verma may publish in the future.

Co-authorship network of co-authors of J. P. Verma

This figure shows the co-authorship network connecting the top 25 collaborators of J. P. Verma. A scholar is included among the top collaborators of J. P. Verma 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 J. P. Verma. J. P. Verma 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.
Verma, J. P., Madhuri Bhavsar, Pronaya Bhattacharya, et al.. (2023). Graph-Based Extractive Text Summarization Sentence Scoring Scheme for Big Data Applications. Information. 14(9). 472–472. 4 indexed citations
2.
Verma, J. P., et al.. (2012). A discriminant analysis of team cohesiveness among high-performance and low-performance elite Indian volleyball players. 19(4). 191–195. 3 indexed citations
3.
Yadav, Janardan, J. P. Verma, & Kavindra Nath Tiwari. (2010). Effect of plant growth promoting rhizobacteria on seed germination and plant growth chickpea (Cicer arietinum L.) under in vitro conditions.. 2(2). 15–18. 63 indexed citations
4.
Verma, J. P., et al.. (2002). Population dynamics of cotton endophytic Pseudomonas, their antagonism and protective action against the major pathogens of cotton. Indian Phytopathology. 55(2). 124–132. 12 indexed citations
5.
Mondal, Kalyan K., et al.. (2000). Secondary metabolites of cotton rhizobacteria in the suppression of bacterial blight of cotton. Indian Phytopathology. 53(1). 22–27. 8 indexed citations
6.
Verma, J. P., et al.. (2000). Effect of level of phosphorus and potash on the performance of seed yield of 'Pusa Early Bunching' fenugreek (Trigonella foenum-graecum).. The Indian Journal of Agricultural Sciences. 70(12). 866–868. 6 indexed citations
7.
Mondal, Kalyan K., et al.. (1999). Beneficial effects of indigenous cotton rhizobacteria on seed germinability, growth promotion and suppression of bacterial blight disease. Indian Phytopathology. 52(3). 228–235. 12 indexed citations
8.
Verma, J. P., et al.. (1998). Management of bacterial blight of cotton induced by Xanthomonas axonopodis pv malvacearum with the use of neem based formulations. Indian Phytopathology. 51(1). 21–25. 1 indexed citations
9.
Verma, J. P.. (1995). Advances in bacterial blight of cotton. Indian Phytopathology. 48(1). 1–13. 5 indexed citations
10.
Sathyanarayana, N. & J. P. Verma. (1993). Possible role of plasmids in the virulence of Xanthomonas campestris pv. malvacearum. Indian Phytopathology. 46(2). 165–166. 3 indexed citations
11.
Laha, G. S., et al.. (1992). Biocontrol of Rhizoctonia solani in cotton by fluorescent pseudomonads. Indian Phytopathology. 45(4). 412–415. 5 indexed citations
12.
Verma, J. P., et al.. (1980). Exopolysaccharide production by pathogenic and nonpathogenic bacteria associated with leaves of cotton.. Indian Phytopathology. 33(2). 304–307. 2 indexed citations
13.
Mohan, S. K., et al.. (1976). Role of Leptocorisa acuta Thun. in the spread of bacterial blight of rice.. Current Science. 45(11). 426–427. 2 indexed citations
14.
Verma, J. P., et al.. (1975). Cellulases, pectinases and proteases of Indian isolates of Xanthomonas malvacearum.. Indian Phytopathology. 28(3). 379–383. 6 indexed citations
15.
Verma, J. P., et al.. (1974). Automatic test-generation and test-verification of digital systems. Design Automation Conference. 149–158. 6 indexed citations
16.
Verma, J. P. & Ravi P. Singh. (1974). Studies on the nutrition of Xanthomonas malvacearum and its relationship to the free amino acids, organic acids and sugars of resistant and susceptible cotton cultivars.. 9. 55–63. 5 indexed citations
17.
Verma, J. P., et al.. (1972). Efficacy of triphenyl tinacetate as a crop protectant for some Lepidopterous pests.. The Indian Journal of Agricultural Sciences. 42(6). 529–531. 1 indexed citations
18.
Verma, J. P., et al.. (1971). Pectic and cellulolytic enzymes of Xanthomonas malvacearum and the incidence of bacterial blight of cotton.. Current Science. 40. 21–22. 1 indexed citations
19.
Verma, J. P., et al.. (1970). Laboratory evaluation of some insecticides against adults of Myllocerus undecimpustulatus maculosus Desbrochers.. Indian Journal of Entomology. 32(3). 283–285. 1 indexed citations
20.
Dadhwal, V. K., et al.. (1968). Remote Sensing in Agriculture. The Sciences. 8(8). 34–36. 46 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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