Ivan Kahwa

49 total papers · 559 total citations
27 papers, 265 citations indexed

About

Ivan Kahwa is a scholar working on Plant Science, Genetics and Food Science. According to data from OpenAlex, Ivan Kahwa has authored 27 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 4 papers in Genetics and 4 papers in Food Science. Recurrent topics in Ivan Kahwa's work include Ethnobotanical and Medicinal Plants Studies (7 papers), Essential Oils and Antimicrobial Activity (3 papers) and African Botany and Ecology Studies (3 papers). Ivan Kahwa is often cited by papers focused on Ethnobotanical and Medicinal Plants Studies (7 papers), Essential Oils and Antimicrobial Activity (3 papers) and African Botany and Ecology Studies (3 papers). Ivan Kahwa collaborates with scholars based in Uganda, India and Ghana. Ivan Kahwa's co-authors include Patrick Engeu Ogwang, Edward Amoah Boateng, Purabi Saha, Roshan Kumar, Timothy Omara, Shabnoor Iqbal, Farhat Jabeen, Chinaza Godswill Awuchi, Roshan Kumar and Neeraj Mishra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and Journal of the Science of Food and Agriculture.

In The Last Decade

Ivan Kahwa

25 papers receiving 255 citations

Author Peers

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

Author Last Decade Papers Cites
Ivan Kahwa 68 63 43 38 36 27 265
Lubna Azmi 45 0.7× 81 1.3× 30 0.7× 69 1.8× 39 1.1× 36 305
Hemant Nagar 46 0.7× 67 1.1× 29 0.7× 39 1.0× 15 0.4× 18 318
Mahboobeh Mehrabani Natanzi 67 1.0× 87 1.4× 52 1.2× 59 1.6× 28 0.8× 24 331
Luana Barbosa Corrêa 41 0.6× 81 1.3× 31 0.7× 39 1.0× 33 0.9× 16 276
Rajendra Sangaraju 48 0.7× 109 1.7× 29 0.7× 23 0.6× 54 1.5× 16 318
Chitra Khanwelkar 41 0.6× 60 1.0× 33 0.8× 20 0.5× 46 1.3× 40 278
Ke Yang 44 0.6× 161 2.6× 51 1.2× 22 0.6× 66 1.8× 27 321
Ezar Hafez 43 0.6× 54 0.9× 33 0.8× 14 0.4× 38 1.1× 21 257
Noura Al‐Dayan 57 0.8× 88 1.4× 23 0.5× 48 1.3× 28 0.8× 38 323
Ruth Meri Lucinda-Silva 82 1.2× 97 1.5× 29 0.7× 92 2.4× 45 1.3× 26 331

Countries citing papers authored by Ivan Kahwa

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Kahwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Kahwa

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Kahwa. A scholar is included among the top collaborators of Ivan Kahwa 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 Ivan Kahwa. Ivan Kahwa 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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