Khalid Hajissa

50 total papers · 927 total citations
39 papers, 552 citations indexed

About

Khalid Hajissa is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Khalid Hajissa has authored 39 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 11 papers in Epidemiology and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Khalid Hajissa's work include SARS-CoV-2 and COVID-19 Research (7 papers), Malaria Research and Control (6 papers) and Mosquito-borne diseases and control (6 papers). Khalid Hajissa is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), Malaria Research and Control (6 papers) and Mosquito-borne diseases and control (6 papers). Khalid Hajissa collaborates with scholars based in Malaysia, Sudan and Saudi Arabia. Khalid Hajissa's co-authors include Zeehaida Mohamed, Rapeah Suppıan, Md Asiful Islam, Ali A. Rabaan, Abbas Al Mutair, Zakuan Zainy Deris, Saad Alhumaid, Noor Fatmawati Mokhtar, Rosline Hassan and Rohimah Mohamud and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Khalid Hajissa

36 papers receiving 540 citations

Author Peers

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

Author Last Decade Papers Cites
Khalid Hajissa 188 157 120 115 85 39 552
R Amatya 186 1.0× 89 0.6× 101 0.8× 94 0.8× 58 0.7× 59 572
T Matsumura 158 0.8× 184 1.2× 74 0.6× 97 0.8× 197 2.3× 60 560
Meagan A. Barry 101 0.5× 141 0.9× 82 0.7× 128 1.1× 148 1.7× 22 493
N. K. Ganguly 123 0.7× 116 0.7× 63 0.5× 89 0.8× 120 1.4× 62 477
Tobias Schindler 177 0.9× 214 1.4× 51 0.4× 82 0.7× 107 1.3× 28 513
Janelisa Musaya 97 0.5× 158 1.0× 30 0.3× 111 1.0× 85 1.0× 47 460
Chao Lv 108 0.6× 111 0.7× 61 0.5× 51 0.4× 65 0.8× 45 479
Sitti Wahyuni 151 0.8× 168 1.1× 50 0.4× 48 0.4× 115 1.4× 39 462
Mohammad Javad Gharavi 90 0.5× 235 1.5× 79 0.7× 180 1.6× 168 2.0× 50 549
Beatrice Nickel 84 0.4× 263 1.7× 61 0.5× 92 0.8× 107 1.3× 39 499

Countries citing papers authored by Khalid Hajissa

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Hajissa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khalid Hajissa

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