Nabeel Khalid

620 total citations · 1 hit paper
8 papers, 196 citations indexed

About

Nabeel Khalid is a scholar working on Biophysics, Media Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nabeel Khalid has authored 8 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biophysics, 4 papers in Media Technology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nabeel Khalid's work include Cell Image Analysis Techniques (5 papers), Image Processing Techniques and Applications (4 papers) and Digital Imaging for Blood Diseases (2 papers). Nabeel Khalid is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Image Processing Techniques and Applications (4 papers) and Digital Imaging for Blood Diseases (2 papers). Nabeel Khalid collaborates with scholars based in Germany, Sweden and Australia. Nabeel Khalid's co-authors include Sheraz Ahmed, Andreas Dengel, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Nicola Bevan, Timothy Dale, Genevieve Buckley and Constantin Pape and has published in prestigious journals such as The EMBO Journal and Nature Methods.

In The Last Decade

Nabeel Khalid

7 papers receiving 193 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Segment Anything for Microscopy

2025 29 citations Nabeel Khalid, Genevieve Buckley et al. Nature Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nabeel Khalid Germany	4	113	60	56	55	53	8	196
Christoffer Edlund Sweden	4	102 0.9×	54 0.9×	35 0.6×	60 1.1×	59 1.1×	9	171
Kristian Kvilekval United States	4	103 0.9×	23 0.4×	81 1.4×	58 1.1×	60 1.1×	7	232
Dmitry V. Sorokin Russia	10	116 1.0×	40 0.7×	132 2.4×	35 0.6×	79 1.5×	43	298
Ervin Tasnádi Hungary	7	71 0.6×	27 0.5×	58 1.0×	43 0.8×	36 0.7×	13	178
Philipp Hanslovsky Germany	3	102 0.9×	34 0.6×	69 1.2×	18 0.3×	52 1.0×	3	196
Håkan Wieslander Sweden	6	98 0.9×	38 0.6×	65 1.2×	74 1.3×	41 0.8×	9	247
Gus Ferguson United Kingdom	5	130 1.2×	23 0.4×	116 2.1×	44 0.8×	17 0.3×	8	230
Tim Scherr Germany	7	70 0.6×	30 0.5×	34 0.6×	57 1.0×	57 1.1×	17	156
Katharina Löffler Germany	5	64 0.6×	25 0.4×	30 0.5×	25 0.5×	51 1.0×	8	106
Antti Lehmussola Finland	8	192 1.7×	83 1.4×	134 2.4×	77 1.4×	100 1.9×	12	304

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-authorship network of co-authors of Nabeel Khalid

This figure shows the co-authorship network connecting the top 25 collaborators of Nabeel Khalid. A scholar is included among the top collaborators of Nabeel Khalid 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 Nabeel Khalid. Nabeel Khalid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Khalid, Nabeel, et al.. (2025). Segment Anything for Microscopy. Nature Methods. 22(3). 579–591. 29 indexed citations breakdown →

2.

Baig, Sajjad Ahmad, et al.. (2022). The relationship between perceived training and development and employee retention: The mediating role of work attitudes and the moderating role of organizational support. 4(3). 232–250. 2 indexed citations

3.

Khalid, Nabeel, Mohsin Munir, Christoffer Edlund, et al.. (2022). DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation. 1–4.

4.

Edlund, Christoffer, Timothy R. Jackson, Nabeel Khalid, et al.. (2021). LIVECell—A large-scale dataset for label-free live cell segmentation. Nature Methods. 18(9). 1038–1045. 135 indexed citations

5.

Khalid, Nabeel, Mohsin Munir, Christoffer Edlund, et al.. (2021). DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images. 1–8. 5 indexed citations

6.

Khalid, Nabeel, Mohsin Munir, Christoffer Edlund, et al.. (2021). DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images. 1–4. 2 indexed citations

7.

Morlot, Sandrine, Lena Krämer, Felix Boos, et al.. (2021). Increased levels of mitochondrial import factor Mia40 prevent the aggregation of polyQ proteins in the cytosol. The EMBO Journal. 40(16). e107913–e107913. 22 indexed citations

8.

Nasir, Ali, et al.. (2018). Design And Implementation of Virtual Synchronous Machine. 1–6. 1 indexed citations

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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