Luciano Del Corro

1.2k total citations
10 papers, 459 citations indexed

About

Luciano Del Corro is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Luciano Del Corro has authored 10 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Luciano Del Corro's work include Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Speech and dialogue systems (3 papers). Luciano Del Corro is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers) and Speech and dialogue systems (3 papers). Luciano Del Corro collaborates with scholars based in Germany, Italy and United States. Luciano Del Corro's co-authors include Rainer Gemulla, Kiril Gashteovski, Gerhard Weikum, Abdalghani Abujabal, Johannes Hoffart, Fabio Petroni, Jannik Strötgen, Harshul Gupta and Samuel Broscheit and has published in prestigious journals such as INFM-OAR (INFN Catania), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and MADOC (University of Mannheim).

In The Last Decade

Luciano Del Corro

10 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luciano Del Corro Germany	7	427	87	55	41	38	10	459
Avirup Sil United States	12	525 1.2×	88 1.0×	80 1.5×	52 1.3×	37 1.0×	32	557
Xiaotao Gu United States	9	349 0.8×	69 0.8×	57 1.0×	54 1.3×	40 1.1×	19	378
Congle Zhang United States	7	673 1.6×	104 1.2×	97 1.8×	46 1.1×	59 1.6×	8	714
Arzoo Katiyar United States	7	705 1.7×	77 0.9×	98 1.8×	77 1.9×	54 1.4×	11	742
Shanchan Wu United States	7	265 0.6×	75 0.9×	24 0.4×	34 0.8×	42 1.1×	19	336
Joachim Daiber Netherlands	5	327 0.8×	77 0.9×	48 0.9×	55 1.3×	34 0.9×	8	358
Chris Hokamp Ireland	8	512 1.2×	92 1.1×	50 0.9×	75 1.8×	43 1.1×	20	552
Abe Ittycheriah United States	7	612 1.4×	75 0.9×	34 0.6×	118 2.9×	48 1.3×	9	643
Thomas Lin United States	12	335 0.8×	94 1.1×	45 0.8×	28 0.7×	51 1.3×	17	393
Itziar Aldabe Spain	8	296 0.7×	65 0.7×	42 0.8×	22 0.5×	32 0.8×	30	329

Countries citing papers authored by Luciano Del Corro

Since Specialization

Citations

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

Fields of papers citing papers by Luciano Del Corro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luciano Del Corro. 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 Luciano Del Corro. The network helps show where Luciano Del Corro may publish in the future.

Co-authorship network of co-authors of Luciano Del Corro

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Gupta, Harshul, et al.. (2021). Unsupervised Multi-View Post-OCR Error Correction With Language Models. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 8647–8652. 3 indexed citations

2.

Corro, Luciano Del, et al.. (2018). A Study of the Importance of External Knowledge in the Named Entity Recognition Task. 30 indexed citations

3.

Strötgen, Jannik, et al.. (2018). diaNED: Time-Aware Named Entity Disambiguation for Diachronic Corpora. 686–693. 14 indexed citations

4.

Corro, Luciano Del, et al.. (2018). Facts That Matter. INFM-OAR (INFN Catania). 1043–1048. 7 indexed citations

5.

Gashteovski, Kiril, Rainer Gemulla, & Luciano Del Corro. (2017). MinIE: Minimizing Facts in Open Information Extraction. 2630–2640. 87 indexed citations

6.

Petroni, Fabio, Luciano Del Corro, & Rainer Gemulla. (2015). CORE: Context-Aware Open Relation Extraction with Factorization Machines. MADOC (University of Mannheim). 1763–1773. 16 indexed citations

7.

Corro, Luciano Del, Abdalghani Abujabal, Rainer Gemulla, & Gerhard Weikum. (2015). FINET: Context-Aware Fine-Grained Named Entity Typing. MADOC (University of Mannheim). 868–878. 50 indexed citations

8.

Corro, Luciano Del, Rainer Gemulla, & Gerhard Weikum. (2014). Werdy: Recognition and Disambiguation of Verbs and Verb Phrases with Syntactic and Semantic Pruning. MADOC (University of Mannheim). 374–385. 4 indexed citations

9.

Corro, Luciano Del & Rainer Gemulla. (2013). ClausIE. 355–366. 243 indexed citations

10.

Corro, Luciano Del, et al.. (2013). Fully Parallel Inference in Markov Logic Networks. Max Planck Digital Library. 205–224. 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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