Khalid Naeem

2.0k citations
82 papers · 1.6k · h-index 22

Impact in

Papers in

Khalid Naeem

78 papers receiving 1.4k citations

Peers

Khalid Naeem
Comparison fields: 5 of 99
  • Agronomy and Crop Science 647
  • Infectious Diseases 581
  • Animal Science and Zoology 312
  • Epidemiology 874
  • Management Science and Operations Research 309
Replace Karin S. Dorman with:
Karin S. Dorman United States
Ariel L. Rivas United States
Zuoshuang Xiang United States
Richard Howey United Kingdom
Anand N. Vidyashankar United States
Philip D. O’Neill United Kingdom
Zheng Kou China
Ha Nguyen United States
Xin Cong China
Jay V. DePasse United States
Khalid Naeem relative to Karin S. Dorman United States Karin S. Dorman's profile →
Citations per field
00.5×11.9×
Karin S. Dorman · 1×
Citations per year

Countries citing papers authored by Khalid Naeem

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Naeem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Khalid Naeem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Khalid Naeem Line = papers co-authored together Khalid Naeem links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999161
2 2003154
3 201988
4 200769
5
Use of strategic vaccination for the control of avian influenza in Pakistan.
200663
6 199560
7 199557
8 201951
9 201150
10 200348
11 200045
12 201044
13 201641
14 200740
15 202038
16 201834
17 200933
18 200928
19 200428
20 201728

About Khalid Naeem

Khalid Naeem is a scholar working on Epidemiology, Agronomy and Crop Science, Management Science and Operations Research, Infectious Diseases and Animal Science and Zoology, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (29 papers), Influenza Virus Research Studies (22 papers), Animal Virus Infections Studies (21 papers), Multi-Criteria Decision Making (20 papers), Fuzzy and Soft Set Theory (17 papers), Viral gastroenteritis research and epidemiology (16 papers), Viral Infections and Immunology Research (14 papers) and Vector-Borne Animal Diseases (12 papers). The work is most often cited by research in Agronomy and Crop Science (647 citations), Infectious Diseases (581 citations), Animal Science and Zoology (312 citations), Epidemiology (874 citations) and Management Science and Operations Research (309 citations). Khalid Naeem has collaborated with scholars based in Pakistan, United States and Türkiye. Frequent co-authors include Muhammad Riaz, N. Siddique, S. A. Malik, Deeba Afzal, Zaheer Ahmed, Aman Ullah, R. J. Manvell, D. J. Alexander, Manzoor Hussain and Xindong Peng. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Veterinary Record, Virology Journal, Poultry Science and Avian Diseases.

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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