Alexander Erdmann

474 total citations
12 papers, 299 citations indexed

About

Alexander Erdmann is a scholar working on Artificial Intelligence, Language and Linguistics and Molecular Biology. According to data from OpenAlex, Alexander Erdmann has authored 12 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Language and Linguistics and 1 paper in Molecular Biology. Recurrent topics in Alexander Erdmann's work include Natural Language Processing Techniques (12 papers), Topic Modeling (9 papers) and Speech Recognition and Synthesis (4 papers). Alexander Erdmann is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (9 papers) and Speech Recognition and Synthesis (4 papers). Alexander Erdmann collaborates with scholars based in United States, United Arab Emirates and Qatar. Alexander Erdmann's co-authors include Nizar Habash, Salam Khalifa, Nasser Zalmout, Fadhl Eryani, Ossama Obeid, Houda Bouamor, Owen Rambow, Mohammad Salameh, Wajdi Zaghouani and Mai Oudah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and Ghent University Academic Bibliography (Ghent University).

In The Last Decade

Alexander Erdmann

11 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Erdmann United States	7	291	33	20	15	14	12	299
Fadhl Eryani United States	6	274 0.9×	37 1.1×	18 0.9×	17 1.1×	16 1.1×	9	284
Michał Marcińczuk Poland	8	171 0.6×	16 0.5×	9 0.5×	19 1.3×	9 0.6×	30	188
Shruti Rijhwani United States	7	188 0.6×	21 0.6×	22 1.1×	13 0.9×	4 0.3×	17	210
Ossama Obeid United States	10	424 1.5×	50 1.5×	29 1.4×	29 1.9×	18 1.3×	19	440
Salam Khalifa United States	11	397 1.4×	63 1.9×	40 2.0×	21 1.4×	18 1.3×	22	416
Zdeňka Urešová Czechia	10	402 1.4×	49 1.5×	26 1.3×	13 0.9×	6 0.4×	32	417
Agnieszka Mykowiecka Poland	7	160 0.5×	22 0.7×	11 0.6×	10 0.7×	9 0.6×	30	203
Barbora Hladká Czechia	7	168 0.6×	28 0.8×	20 1.0×	13 0.9×	5 0.4×	26	191
Heba Elfardy United States	9	271 0.9×	38 1.2×	10 0.5×	21 1.4×	22 1.6×	17	284

Countries citing papers authored by Alexander Erdmann

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Erdmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Erdmann

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Erdmann. A scholar is included among the top collaborators of Alexander Erdmann 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 Alexander Erdmann. Alexander Erdmann 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

McCarthy, Arya D., Alexander Erdmann, Garrett Nicolai, et al.. (2021). Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering. 72–81.

Obeid, Ossama, Nasser Zalmout, Salam Khalifa, et al.. (2020). CAMeL tools: An open source python toolkit for arabic natural language processing. Language Resources and Evaluation. 7022–7032. 88 indexed citations

Erdmann, Alexander, Tom Kenter, Markus C. Becker, & Christian Schallhart. (2020). Frugal Paradigm Completion. 8248–8273. 2 indexed citations

Erdmann, Alexander, et al.. (2019). Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities. DIAL (Catholic University of Leuven). 2223–2234. 14 indexed citations

Elsner, Micha, et al.. (2019). Modeling morphological learning, typology, and change: What can the neural sequence-to-sequence framework contribute?. SHILAP Revista de lepidopterología. 7(1). 7 indexed citations

Erdmann, Alexander, Salam Khalifa, Mai Oudah, Nizar Habash, & Houda Bouamor. (2019). A Little Linguistics Goes a Long Way: Unsupervised Segmentation with Limited Language Specific Guidance. 113–124. 6 indexed citations

Bouamor, Houda, Nizar Habash, Mohammad Salameh, et al.. (2018). The madar Arabic dialect corpus and lexicon. Language Resources and Evaluation. 3387–3396. 106 indexed citations

Zalmout, Nasser, Alexander Erdmann, & Nizar Habash. (2018). Noise-Robust Morphological Disambiguation for Dialectal Arabic. 953–964. 16 indexed citations

Habash, Nizar, Fadhl Eryani, Salam Khalifa, et al.. (2018). Unified guidelines and resources for Arabic dialect orthography. 3628–3637. 33 indexed citations

10.

Erdmann, Alexander, Nasser Zalmout, & Nizar Habash. (2018). Addressing Noise in Multidialectal Word Embeddings. 558–565. 16 indexed citations

11.

Erdmann, Alexander & Nizar Habash. (2018). Complementary Strategies for Low Resourced Morphological Modeling. 54–65. 6 indexed citations

12.

Erdmann, Alexander, Christopher C. Brown, Brian D. Joseph, et al.. (2016). Challenges and Solutions for Latin Named Entity Recognition. Ghent University Academic Bibliography (Ghent University). 85–93. 5 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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