Thomas Stibor

1.1k total citations
15 papers, 433 citations indexed

About

Thomas Stibor is a scholar working on Biomedical Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Thomas Stibor has authored 15 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 7 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Thomas Stibor's work include Artificial Immune Systems Applications (9 papers), Anomaly Detection Techniques and Applications (5 papers) and T-cell and B-cell Immunology (3 papers). Thomas Stibor is often cited by papers focused on Artificial Immune Systems Applications (9 papers), Anomaly Detection Techniques and Applications (5 papers) and T-cell and B-cell Immunology (3 papers). Thomas Stibor collaborates with scholars based in Germany, United Kingdom and Italy. Thomas Stibor's co-authors include Jon Timmis, Edward Clark, Andrew N. W. Hone, Claudia Eckert, Han Xiao, Graham Kendall, Jonathan M. Garibaldi, Xiao Han, Píetro Lió and J. Adamczewski-Musch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Theoretical Computer Science and Lecture notes in computer science.

In The Last Decade

Thomas Stibor

13 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Stibor Germany	9	304	137	103	101	79	15	433
Andrew Watkins United States	6	393 1.3×	170 1.2×	107 1.0×	197 2.0×	39 0.5×	13	528
Julie Greensmith United Kingdom	12	405 1.3×	151 1.1×	107 1.0×	102 1.0×	204 2.6×	31	519
Simon Garrett United Kingdom	10	164 0.5×	471 3.4×	64 0.6×	180 1.8×	36 0.5×	18	718
Mario Pavone Italy	11	208 0.7×	192 1.4×	84 0.8×	174 1.7×	32 0.4×	47	487
Paul K. Harmer United States	6	170 0.6×	107 0.8×	28 0.3×	36 0.4×	112 1.4×	10	269
Rajesh Cherukuri United States	2	631 2.1×	289 2.1×	103 1.0×	168 1.7×	284 3.6×	2	816
Edward Clark United Kingdom	8	186 0.6×	77 0.6×	54 0.5×	167 1.7×	32 0.4×	13	378
Matthew Glickman United States	8	145 0.5×	114 0.8×	22 0.2×	40 0.4×	95 1.2×	15	256
Paul Helman United States	13	367 1.2×	410 3.0×	52 0.5×	139 1.4×	382 4.8×	34	865
Zaineb Chelly Dagdia Tunisia	9	66 0.2×	96 0.7×	29 0.3×	44 0.4×	84 1.1×	30	275

Countries citing papers authored by Thomas Stibor

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Stibor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Stibor

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

All Works

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15 of 15 papers shown

Adamczewski-Musch, J. & Thomas Stibor. (2020). Mass storage interface LTSM for FAIR Phase 0 data acquisition. SHILAP Revista de lepidopterología. 245. 1018–1018.

Han, Xiao & Thomas Stibor. (2013). Toward Artificial Synesthesia: Linking Images and Sounds via Words. 3 indexed citations

Lió, Píetro & Thomas Stibor. (2011). Artificial Immune Systems. Lecture notes in computer science. 1 indexed citations

Xiao, Han & Thomas Stibor. (2011). A supervised topic transition model for detecting malicious system call sequences. 20. 23–30. 7 indexed citations

Stibor, Thomas. (2010). A study of detecting computer viruses in real-infected files in the n-gram representation with machine learning methods. 509–519. 6 indexed citations

Xiao, Han & Thomas Stibor. (2010). Efficient Collapsed Gibbs Sampling For Latent Dirichlet Allocation. Asian Conference on Machine Learning. 63–78. 24 indexed citations

Stibor, Thomas, et al.. (2009). Geometrical insights into the dendritic cell algorithm. 1275–1282. 10 indexed citations

Stibor, Thomas. (2008). Foundations of r-contiguous matching in negative selection for anomaly detection. Natural Computing. 8(3). 613–641. 10 indexed citations

Timmis, Jon, Andrew N. W. Hone, Thomas Stibor, & Edward Clark. (2008). Theoretical advances in artificial immune systems. Theoretical Computer Science. 403(1). 11–32. 193 indexed citations

10.

Stibor, Thomas & Jon Timmis. (2007). An Investigation on the Compression Quality of aiNet. 495–502. 13 indexed citations

11.

Stibor, Thomas & Jon Timmis. (2007). Comments on real-valued negative selection vs. real-valued positive selection and one-class SVM. 2787. 3727–3734. 8 indexed citations

12.

Stibor, Thomas, Claudia Eckert, & Jon Timmis. (2006). Artificial Immune Systems for IT-Security (Künstliche Immunsysteme für IT-Sicherheit). it - Information Technology. 48(3). 168–173. 1 indexed citations

13.

Stibor, Thomas, Jon Timmis, & Claudia Eckert. (2006). The Link between r-contiguous Detectors and k-CNF Satisfiability. TUbilio (Technical University of Darmstadt). 491–498. 9 indexed citations

14.

Stibor, Thomas, et al.. (2005). Is negative selection appropriate for anomaly detection?. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 321–328. 121 indexed citations

15.

Stibor, Thomas, Jon Timmis, & Claudia Eckert. (2005). On the Appropriateness of Negative Selection defined over Hamming Shape-Space as a Network Intrusion Detection System. TUbilio (Technical University of Darmstadt). 2. 995–1002. 27 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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