N. K. Timofeeva

1.4k total citations · 1 hit paper
10 papers, 963 citations indexed

About

N. K. Timofeeva is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Discrete Mathematics and Combinatorics. According to data from OpenAlex, N. K. Timofeeva has authored 10 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Discrete Mathematics and Combinatorics. Recurrent topics in N. K. Timofeeva's work include AI in cancer detection (4 papers), semigroups and automata theory (2 papers) and Digital Imaging for Blood Diseases (2 papers). N. K. Timofeeva is often cited by papers focused on AI in cancer detection (4 papers), semigroups and automata theory (2 papers) and Digital Imaging for Blood Diseases (2 papers). N. K. Timofeeva collaborates with scholars based in Netherlands, Ukraine and Germany. N. K. Timofeeva's co-authors include Jeroen van der Laak, Geert Litjens, Iringo Kovacs, Bram van Ginneken, Meyke Hermsen, Clara I. Sá‎nchez, Peter Bult, Irıs D. Nagtegaal, Babak Ehteshami Bejnordi and Irene Otte‐Höller and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Skin Pharmacology and Physiology.

In The Last Decade

N. K. Timofeeva

8 papers receiving 937 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.

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

2016 722 citations Geert Litjens, Clara I. Sá‎nchez et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. K. Timofeeva Netherlands	4	717	471	292	143	137	10	963
Péter Bándi Netherlands	8	617 0.9×	421 0.9×	292 1.0×	125 0.9×	116 0.8×	15	779
Iringo Kovacs Netherlands	5	538 0.8×	386 0.8×	181 0.6×	85 0.6×	105 0.8×	7	762
Sen Yang China	16	657 0.9×	493 1.0×	371 1.3×	93 0.7×	115 0.8×	57	1.2k
Wouter Bulten Netherlands	8	752 1.0×	530 1.1×	275 0.9×	103 0.7×	157 1.1×	9	998
Maschenka Balkenhol Netherlands	13	685 1.0×	530 1.1×	298 1.0×	139 1.0×	151 1.1×	21	906
Yee‐Wah Tsang United Kingdom	5	857 1.2×	551 1.2×	429 1.5×	224 1.6×	189 1.4×	6	1.2k
Dimitris Samaras United States	12	684 1.0×	427 0.9×	422 1.4×	141 1.0×	145 1.1×	28	1.0k
Thomas de Bel Netherlands	10	641 0.9×	459 1.0×	231 0.8×	91 0.6×	159 1.2×	16	1.0k
Simon Graham United Kingdom	14	770 1.1×	590 1.3×	389 1.3×	154 1.1×	183 1.3×	28	1.0k
Norman Zerbe Germany	12	501 0.7×	314 0.7×	194 0.7×	96 0.7×	118 0.9×	34	780

Countries citing papers authored by N. K. Timofeeva

Since Specialization

Citations

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

Fields of papers citing papers by N. K. Timofeeva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. K. Timofeeva. 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 N. K. Timofeeva. The network helps show where N. K. Timofeeva may publish in the future.

Co-authorship network of co-authors of N. K. Timofeeva

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

All Works

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10 of 10 papers shown

1.

Uzunbajakava, Natallia E., et al.. (2019). Development of a Novel Approach to Studying Corneodesmosomes and Stratum Corneum Adhesion: Extending Knowledge on the Pathophysiology of Sensitive Skin. Skin Pharmacology and Physiology. 32(2). 81–93. 2 indexed citations

2.

Litjens, Geert, Clara I. Sá‎nchez, N. K. Timofeeva, et al.. (2016). Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis. Scientific Reports. 6(1). 26286–26286. 722 indexed citations breakdown →

3.

Bejnordi, Babak Ehteshami, Geert Litjens, N. K. Timofeeva, et al.. (2015). Stain Specific Standardization of Whole-Slide Histopathological Images. IEEE Transactions on Medical Imaging. 35(2). 404–415. 194 indexed citations

4.

Litjens, Geert, Babak Ehteshami Bejnordi, N. K. Timofeeva, et al.. (2015). Automated detection of prostate cancer in digitized whole-slide images of H and E-stained biopsy specimens. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9420. 94200B–94200B. 7 indexed citations

5.

Bejnordi, Babak Ehteshami, N. K. Timofeeva, Irene Otte‐Höller, Nico Karssemeijer, & Jeroen van der Laak. (2014). Quantitative analysis of stain variability in histology slides and an algorithm for standardization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9041. 904108–904108. 32 indexed citations

6.

Timofeeva, N. K.. (2009). Subclasses of solvable problems from classes of combinatorial optimization problems. Cybernetics and Systems Analysis. 45(2). 245–252. 1 indexed citations

7.

Timofeeva, N. K.. (2004). Features of Formation and Ordering of Samples. Cybernetics and Systems Analysis. 40(3). 460–466. 2 indexed citations

8.

Timofeeva, N. K.. (2002). Methods of Constructing Argument of Objective Function in Combinatorial Optimization Problems. Cybernetics and Systems Analysis. 38(6). 873–878. 1 indexed citations

9.

Timofeeva, N. K.. (1998). Ordering a set of values of an objective-function argument in combinatorial optimization. Cybernetics and Systems Analysis. 34(6). 855–862. 1 indexed citations

10.

Timofeeva, N. K.. (1996). Approach to finding the optimal solution in the assignment problem. Cybernetics and Systems Analysis. 32(1). 86–92. 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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