Nabeel Khalid

620 citations
8 papers · 196 · 1 hit paper · h-index 4

Impact in

Papers in

Nabeel Khalid

7 papers receiving 193 citations

Nabeel Khalid's Hit Papers

Segment Anything for Microscopy 2025 · 29 citations
290Years since publication510152025

Peers

Nabeel Khalid
Comparison fields: 5 of 54
  • Biophysics 113
  • Structural Biology 10
  • Media Technology 60
  • Computer Vision and Pattern Recognition 53
  • Acoustics and Ultrasonics 2
Replace Dmitry V. Sorokin with:
Dmitry V. Sorokin Russia
Christoffer Edlund Sweden
Philipp Hanslovsky Germany
Kristian Kvilekval United States
Ervin Tasnádi Hungary
Gus Ferguson United Kingdom
Håkan Wieslander Sweden
Fabian Tschopp United States
Krisztián Koós Hungary
Peter F. Lemkin United States
Nabeel Khalid relative to Dmitry V. Sorokin Russia Dmitry V. Sorokin's profile →
Citations per field
00.5×3.6×
Dmitry V. Sorokin · 1×
Citations per year

Countries citing papers authored by Nabeel Khalid

Since Specialization
Citations

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

Fields of papers citing papers by Nabeel Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Nabeel Khalid, 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 Nabeel Khalid Line = papers co-authored together Nabeel Khalid links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2021135
2
Segment Anything for Microscopy
Hit paper breakdown →
202529
3 202122
4 20215
5 20222
6 20212
7 20181
8 20220

About Nabeel Khalid

Nabeel Khalid is a scholar working on Biophysics, Media Technology, Computer Vision and Pattern Recognition, Molecular Biology and Structural Biology, having authored 8 papers that have together received 196 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), Image Processing Techniques and Applications (4 papers), Digital Imaging for Blood Diseases (2 papers), Islanding Detection in Power Systems (1 paper), Workplace Spirituality and Leadership (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Digital Holography and Microscopy (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Biophysics (113 citations), Structural Biology (10 citations), Media Technology (60 citations), Computer Vision and Pattern Recognition (53 citations) and Acoustics and Ultrasonics (2 citations). Nabeel Khalid has collaborated with scholars based in Germany, Sweden and Australia. Frequent co-authors include Sheraz Ahmed, Andreas Dengel, Timothy R. Jackson, Johan Trygg, Christoffer Edlund, Rickard Sjögren, Timothy Dale, Nicola Bevan, Genevieve Buckley and Constantin Pape. Their work appears in journals such as Nature Methods and The EMBO Journal.

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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