Kalim Ullah

830 citations
48 papers · 514 indexed · 1 hit paper · h-index 12

Kalim Ullah

42 papers receiving 498 citations

Hit Papers

Enhancing heart disease prediction using a self-attention...4420242026202510203040

Peers

Kalim Ullah
Comparison fields: 5 of 132
  • Health Information Management 28
  • Health Informatics 6
  • Applied Microbiology and Biotechnology 6
  • Pharmaceutical Science 17
  • Reproductive Medicine 23
Replace Nawaf Alshammari with:
Nawaf Alshammari Saudi Arabia
Uzma Farooq Pakistan
Nishant Rai India
Ana T. Freitas Portugal
Rajeshkumar Shanmugam India
Xiaoya Wang China
Ravikumar B. Shinde India
Guan Wang China
Anil Rawat India
Kalim Ullah relative to Nawaf Alshammari Saudi Arabia Nawaf Alshammari's profile →
Citations per field
00.5×
Nawaf Alshammari · 1×
Citations per year

Countries citing papers authored by Kalim Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Kalim Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kalim Ullah, 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 Kalim Ullah Line = papers co-authored together Kalim Ullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20243
4 20241
5
Enhancing heart disease prediction using a self-attention-based transformer modelbreakdown →
202444
6 20231
7 20231
8 20236
9 202252
10 202232
11 20221
12 202226
13 202214
14 2021100
15 20200
16 20203
17 20204
18 20192
19 20193
20
Cumulative live birth rate and assisted reproduction: impact of female age and transfer day.
201424

About Kalim Ullah

Kalim Ullah is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Endocrinology, having authored 48 papers that have together received 514 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (4 papers), Pneumonia and Respiratory Infections (4 papers), Viral Infections and Vectors (3 papers), Microgrid Control and Optimization (3 papers), Antibiotic Use and Resistance (3 papers), Antibiotic Resistance in Bacteria (3 papers), Vector-Borne Animal Diseases (3 papers) and Phytochemicals and Antioxidant Activities (2 papers). The work is most often cited by research in Health Information Management (28 citations), Health Informatics (6 citations) and Applied Microbiology and Biotechnology (6 citations). Kalim Ullah has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Qi Zhang, Fasi Wu, Wasim Sajjad, Wanfu Wang, Mian Adnan Kakakhel, Rehan Ali Khan, Atta Rahman, Adeel Zafar, Guangchao Geng and Khaled M. Rabie. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Cancer.

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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