Thelma Paris

119 total papers · 1.1k total citations
42 papers, 480 citations indexed

About

Thelma Paris is a scholar working on General Agricultural and Biological Sciences, Ecology, Evolution, Behavior and Systematics and Soil Science. According to data from OpenAlex, Thelma Paris has authored 42 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in General Agricultural and Biological Sciences, 14 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Soil Science. Recurrent topics in Thelma Paris's work include Agricultural Systems and Practices (13 papers), Agricultural Innovations and Practices (8 papers) and Rice Cultivation and Yield Improvement (8 papers). Thelma Paris is often cited by papers focused on Agricultural Systems and Practices (13 papers), Agricultural Innovations and Practices (8 papers) and Rice Cultivation and Yield Improvement (8 papers). Thelma Paris collaborates with scholars based in Philippines, Australia and India. Thelma Paris's co-authors include Maria Fay Rola‐Rubzen, Joyce Luis, Abdelbagi M. Ismail, Valerien O. Pede, Humnath Bhandari, Dinesh Kumar Sharma, D. J. Mackill, G. Vergara, Romeo V. Labios and Sushil Pandey and has published in prestigious journals such as Field Crops Research, Agricultural Systems and Rural Sociology.

In The Last Decade

Thelma Paris

36 papers receiving 423 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thelma Paris 236 145 117 91 79 42 480
Roberto La Rovere 278 1.2× 124 0.9× 105 0.9× 150 1.6× 72 0.9× 34 470
Rigobert C. Tossou 209 0.9× 151 1.0× 127 1.1× 47 0.5× 43 0.5× 34 495
Marcel van Asseldonk 195 0.8× 97 0.7× 87 0.7× 198 2.2× 145 1.8× 41 524
Hillary K. Bett 202 0.9× 85 0.6× 98 0.8× 71 0.8× 142 1.8× 46 540
Cynthia Donovan 211 0.9× 205 1.4× 121 1.0× 196 2.2× 86 1.1× 28 552
Cristian Rogério Foguesatto 192 0.8× 130 0.9× 83 0.7× 63 0.7× 68 0.9× 35 546
Dana G. Dalrymple 193 0.8× 172 1.2× 44 0.4× 66 0.7× 74 0.9× 42 530
Nina Lilja 228 1.0× 102 0.7× 68 0.6× 48 0.5× 51 0.6× 28 481
Job K. Lagat 183 0.8× 72 0.5× 99 0.8× 90 1.0× 92 1.2× 42 425
Zachary M. Gitonga 182 0.8× 205 1.4× 59 0.5× 82 0.9× 86 1.1× 31 546

Countries citing papers authored by Thelma Paris

Since Specialization
Citations

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

Fields of papers citing papers by Thelma Paris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thelma Paris. 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 Thelma Paris. The network helps show where Thelma Paris may publish in the future.

Co-authorship network of co-authors of Thelma Paris

This figure shows the co-authorship network connecting the top 25 collaborators of Thelma Paris. A scholar is included among the top collaborators of Thelma Paris 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 Thelma Paris. Thelma Paris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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