Markus Hofmarcher

554 total citations
6 papers, 260 citations indexed

About

Markus Hofmarcher is a scholar working on Biophysics, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Markus Hofmarcher has authored 6 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Biophysics, 1 paper in Computer Networks and Communications and 1 paper in Molecular Biology. Recurrent topics in Markus Hofmarcher's work include Cell Image Analysis Techniques (2 papers), Nonmelanoma Skin Cancer Studies (1 paper) and Machine Learning in Bioinformatics (1 paper). Markus Hofmarcher is often cited by papers focused on Cell Image Analysis Techniques (2 papers), Nonmelanoma Skin Cancer Studies (1 paper) and Machine Learning in Bioinformatics (1 paper). Markus Hofmarcher collaborates with scholars based in Austria, Germany and Switzerland. Markus Hofmarcher's co-authors include Sepp Hochreiter, Günter Klambauer, Martin Heusel, Michael Widrich, Jose A. Arjona-Medina, Thomas Unterthiner, Andreas Mayr, Bernhard Nessler, Rupesh Durgesh and Djork-Arné Clevert and has published in prestigious journals such as Modern Pathology, Journal of Chemical Information and Modeling and ACM Transactions on Interactive Intelligent Systems.

In The Last Decade

Markus Hofmarcher

5 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Hofmarcher Austria	4	141	75	53	40	32	6	260
Zhongyu Li China	8	216 1.5×	159 2.1×	21 0.4×	20 0.5×	4 0.1×	23	354
Hyun‐Soo Kang South Korea	11	227 1.6×	48 0.6×	9 0.2×	24 0.6×	5 0.2×	74	330
Zhijian Yin China	8	211 1.5×	25 0.3×	8 0.2×	51 1.3×	3 0.1×	32	340
LI Xiao-mei China	8	166 1.2×	113 1.5×	54 1.0×	9 0.2×	4 0.1×	36	329
Nitin Kumar Chauhan India	5	37 0.3×	109 1.5×	5 0.1×	17 0.4×	11 0.3×	9	273
Andrzej Obuchowicz Poland	11	170 1.2×	295 3.9×	37 0.7×	25 0.6×	18 0.6×	26	383
B. Thiyaneswaran India	9	59 0.4×	32 0.4×	5 0.1×	31 0.8×	3 0.1×	28	223
Сонглин Ду China	10	156 1.1×	33 0.4×	4 0.1×	36 0.9×	9 0.3×	65	306
Sujoy Biswas India	10	103 0.7×	92 1.2×	32 0.6×	44 1.1×	3 0.1×	23	324
Pingli Ma China	7	68 0.5×	71 0.9×	74 1.4×	34 0.8×	3 0.1×	9	250

Countries citing papers authored by Markus Hofmarcher

Since Specialization

Citations

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

Fields of papers citing papers by Markus Hofmarcher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Hofmarcher

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

All Works

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6 of 6 papers shown

1.

Kimeswenger, Susanne, Philipp Tschandl, Markus Hofmarcher, et al.. (2020). Artificial neural networks and pathologists recognize basal cell carcinomas based on different histological patterns. Modern Pathology. 34(5). 895–903. 29 indexed citations

2.

Hofmarcher, Markus, et al.. (2019). Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks. Journal of Chemical Information and Modeling. 59(3). 1163–1171. 60 indexed citations

3.

Hofmarcher, Markus, et al.. (2018). Human-level Protein Localization with Convolutional Neural Networks. International Conference on Learning Representations. 5 indexed citations

4.

Narzt, Wolfgang, et al.. (2018). Estimating Collective Attention toward a Public Display. ACM Transactions on Interactive Intelligent Systems. 8(3). 1–34. 1 indexed citations

5.

Arjona-Medina, Jose A., Thomas Unterthiner, Rupesh Durgesh, et al.. (2016). Speeding up Semantic Segmentation for Autonomous Driving. 165 indexed citations

6.

Hofmarcher, Markus, Michael A. Strauss, & Wolfgang Narzt. (2014). Cross-Platform End-to-End Encryption of Contact Data for Mobile Platforms using the Example of Android. 168–173.

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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