Alfred Dielmann

406 total citations
12 papers, 254 citations indexed

About

Alfred Dielmann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Alfred Dielmann has authored 12 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Alfred Dielmann's work include Speech and dialogue systems (4 papers), Music and Audio Processing (4 papers) and Video Analysis and Summarization (4 papers). Alfred Dielmann is often cited by papers focused on Speech and dialogue systems (4 papers), Music and Audio Processing (4 papers) and Video Analysis and Summarization (4 papers). Alfred Dielmann collaborates with scholars based in United Kingdom, Switzerland and Ireland. Alfred Dielmann's co-authors include Steve Renals, Alessandro Vinciarelli, Hugues Salamin, Hervé Bourlard, Giulia Garau, Daniel Gática-Pérez, Gerhard Rigoll, S.A. Reiter, Dong Zhang and Noel E. O’Connor and has published in prestigious journals such as IEEE Transactions on Multimedia, IEEE Transactions on Audio Speech and Language Processing and Lecture notes in computer science.

In The Last Decade

Alfred Dielmann

12 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alfred Dielmann United Kingdom	8	153	79	75	48	42	12	254
Stephen E. Levinson United States	9	136 0.9×	43 0.5×	72 1.0×	80 1.7×	30 0.7×	33	275
Kalin Stefanov Australia	10	96 0.6×	104 1.3×	62 0.8×	49 1.0×	58 1.4×	31	248
Ronald Böck Germany	10	141 0.9×	58 0.7×	109 1.5×	175 3.6×	57 1.4×	45	300
Maël Guillemot Switzerland	6	173 1.1×	61 0.8×	113 1.5×	34 0.7×	20 0.5×	8	263
Bogdan Raducanu Spain	10	166 1.1×	234 3.0×	22 0.3×	40 0.8×	43 1.0×	34	350
Shinya Fujie Japan	9	178 1.2×	42 0.5×	30 0.4×	45 0.9×	154 3.7×	40	301
Volker Strom United Kingdom	9	210 1.4×	54 0.7×	111 1.5×	120 2.5×	41 1.0×	22	332
Susanne Burger United States	16	444 2.9×	151 1.9×	207 2.8×	140 2.9×	54 1.3×	49	657
Ingo Siegert Germany	10	168 1.1×	35 0.4×	95 1.3×	166 3.5×	50 1.2×	63	309
Fabio Tesser United States	7	108 0.7×	40 0.5×	65 0.9×	78 1.6×	52 1.2×	19	199

Countries citing papers authored by Alfred Dielmann

Since Specialization

Citations

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

Fields of papers citing papers by Alfred Dielmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfred Dielmann

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

All Works

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12 of 12 papers shown

Essid, Slim, Xinyu Lin, Anil Aksay, et al.. (2012). A multi-modal dance corpus for research into interaction between humans in virtual environments. Journal on Multimodal User Interfaces. 18 indexed citations

Garau, Giulia, Alfred Dielmann, & Hervé Bourlard. (2010). Audio-visual synchronisation for speaker diarisation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2654–2657. 6 indexed citations

Dielmann, Alfred. (2010). Unsupervised detection of multimodal clusters in edited recordings. 177–182. 3 indexed citations

Dielmann, Alfred, Giulia Garau, & Hervé Bourlard. (2010). Floor holder detection and end of speaker turn prediction in meetings. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2306–2309. 17 indexed citations

Dielmann, Alfred, et al.. (2009). Automatic role recognition in multiparty recordings using social networks and probabilistic sequential models. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 585–588. 12 indexed citations

Vinciarelli, Alessandro, et al.. (2009). Canal9: A database of political debates for analysis of social interactions. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–4. 64 indexed citations

Dielmann, Alfred & Steve Renals. (2008). Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN. IEEE Transactions on Audio Speech and Language Processing. 16(7). 1303–1314. 21 indexed citations

Dielmann, Alfred & Steve Renals. (2007). DBN Based Joint Dialogue Act Recognition of Multiparty Meetings. Edinburgh Research Explorer. IV–133. 7 indexed citations

Dielmann, Alfred, Daniel Gática-Pérez, S.A. Reiter, et al.. (2006). Multimodal Integration for Meeting Group Action Segmentation and Recognition. Lecture notes in computer science. 52–63. 17 indexed citations

10.

Dielmann, Alfred & Steve Renals. (2006). Automatic Meeting Segmentation Using Dynamic Bayesian Networks. IEEE Transactions on Multimedia. 9(1). 25–36. 40 indexed citations

11.

Dielmann, Alfred & Steve Renals. (2005). Multi-stream segmentation of meetings. Edinburgh Research Explorer. 7. 167–170. 4 indexed citations

12.

Dielmann, Alfred & Steve Renals. (2004). Dynamic Bayesian networks for meeting structuring. Edinburgh Research Explorer. 5. V–629. 45 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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