Ralph Ewerth

1.5k total citations
76 papers, 600 citations indexed

About

Ralph Ewerth is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ralph Ewerth has authored 76 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Ralph Ewerth's work include Video Analysis and Summarization (28 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Image Retrieval and Classification Techniques (17 papers). Ralph Ewerth is often cited by papers focused on Video Analysis and Summarization (28 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Image Retrieval and Classification Techniques (17 papers). Ralph Ewerth collaborates with scholars based in Germany, United States and Sweden. Ralph Ewerth's co-authors include Bernd Freisleben, Eric Müller-Budack, Markus Mühling, Anett Hoppe, Christian Otto, Thilo Stadelmann, Robert Rein, Christian Henning, Andreas Nehring and Markus Huff and has published in prestigious journals such as Scientific Reports, Computers & Education and Frontiers in Psychology.

In The Last Decade

Ralph Ewerth

66 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ralph Ewerth Germany	13	413	122	74	74	48	76	600
Udit Arora India	4	394 1.0×	48 0.4×	125 1.7×	39 0.5×	40 0.8×	10	518
Richen Liu China	10	182 0.4×	59 0.5×	34 0.5×	16 0.2×	51 1.1×	32	417
Abdulqader M. Almars Saudi Arabia	13	95 0.2×	177 1.5×	25 0.3×	12 0.2×	41 0.9×	27	375
Jônatas Wehrmann Brazil	15	363 0.9×	349 2.9×	96 1.3×	5 0.1×	73 1.5×	24	641
Noel Murphy Ireland	13	365 0.9×	48 0.4×	164 2.2×	12 0.2×	42 0.9×	43	444
Anak Agung Putri Ratna Indonesia	12	58 0.1×	165 1.4×	29 0.4×	38 0.5×	124 2.6×	70	371
Adrian Rusu United States	10	136 0.3×	36 0.3×	30 0.4×	8 0.1×	60 1.3×	34	242
Mickaël Coustaty France	12	262 0.6×	226 1.9×	17 0.2×	56 0.8×	59 1.2×	55	514
Mohsen Rashwan Egypt	16	213 0.5×	486 4.0×	95 1.3×	58 0.8×	59 1.2×	78	685
M. Mohamed Sathik India	11	138 0.3×	82 0.7×	12 0.2×	40 0.5×	14 0.3×	44	323

Countries citing papers authored by Ralph Ewerth

Since Specialization

Citations

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

Fields of papers citing papers by Ralph Ewerth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralph Ewerth

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

All Works

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20 of 20 papers shown

Polarz, Sebastian, et al.. (2025). Towards defining, assessing and modelling competency levels in stoichiometry. Chemistry Education Research and Practice. 27(1). 351–367.

Hoppe, Anett, et al.. (2024). Sequential sentence classification in research papers using cross-domain multi-task learning. International Journal on Digital Libraries. 25(2). 377–400. 7 indexed citations

Ewerth, Ralph, et al.. (2024). Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions. 1743–1751.

Müller-Budack, Eric, et al.. (2023). Understanding image-text relations and news values for multimodal news analysis. Frontiers in Artificial Intelligence. 6. 1125533–1125533. 6 indexed citations

Ewerth, Ralph, et al.. (2023). TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies. Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover). 3195–3199.

Otto, Christian, et al.. (2023). Comparing Interface Layouts for the Presentation of Multimodal Search Results. Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover). 321–327. 1 indexed citations

Müller-Budack, Eric, et al.. (2023). Analyzing Results of Depth Estimation Models with Monocular Criteria. 3739–3743. 1 indexed citations

Ewerth, Ralph, et al.. (2023). Comparing different search methods for the open access journal recommendation tool B!SON. International Journal on Digital Libraries. 25(3). 505–516. 3 indexed citations

Raabe, Dominik, et al.. (2023). Synchronization of passes in event and spatiotemporal soccer data. Scientific Reports. 13(1). 15878–15878. 3 indexed citations

10.

Mühling, Markus, et al.. (2022). VIVA: visual information retrieval in video archives. International Journal on Digital Libraries. 23(4). 319–333. 5 indexed citations

11.

Hoppe, Anett, Yvonne Kammerer, Christian Otto, et al.. (2022). The Search as Learning Spaceship: Toward a Comprehensive Model of Psychological and Technological Facets of Search as Learning. Frontiers in Psychology. 13. 827748–827748. 11 indexed citations

12.

Ewerth, Ralph, et al.. (2020). Automated Visual Content Analysis for Film Studies: Current Status and Challenges. Digital humanities quarterly. 14(4). 7 indexed citations

13.

Mühling, Markus, et al.. (2018). Content-based video retrieval in historical collections of the German Broadcasting Archive. International Journal on Digital Libraries. 20(2). 167–183. 19 indexed citations

14.

Mühling, Markus, et al.. (2017). Deep learning for content-based video retrieval in film and television production. Multimedia Tools and Applications. 76(21). 22169–22194. 23 indexed citations

15.

Ewerth, Ralph, Steffen Heinz, Thilo Stadelmann, et al.. (2014). Eine service-orientierte Grid-Infrastruktur zur Unterstützung medienwissenschaftlicher Filmanalyse. Qucosa (Saxon State and University Library Dresden). 79–89.

16.

Mühling, Markus, Ralph Ewerth, Thilo Stadelmann, Bernd Freisleben, & Bing Shi. (2008). University of Marburg at TRECVID 2008: High-Level Feature Extraction.. TRECVID. 3 indexed citations

17.

Mühling, Markus, et al.. (2007). University of Marburg at TRECVID 2007: Shot Boundary Detection and High Level Feature Extraction. TRECVID. 10 indexed citations

18.

Ewerth, Ralph, et al.. (2007). Segmenting Moving Objects in MPEG Videos in the Presence of Camera Motion. 819–824. 3 indexed citations

19.

Ewerth, Ralph, et al.. (2006). University of Marburg at TRECVID 2006: Shot Boundary Detection and Rushes Task Results. TRECVID. 5 indexed citations

20.

Ewerth, Ralph, et al.. (2005). University of Marburg at TRECVID 2005: Shot Boundary Detection and Camera Motion Estimation Results. TRECVID. 7 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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