Paramita Mirza

677 total citations
22 papers, 335 citations indexed

About

Paramita Mirza is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Paramita Mirza has authored 22 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in Paramita Mirza's work include Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Semantic Web and Ontologies (6 papers). Paramita Mirza is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Semantic Web and Ontologies (6 papers). Paramita Mirza collaborates with scholars based in Germany, Italy and United States. Paramita Mirza's co-authors include Sara Tonelli, Gerhard Weikum, Rachele Sprugnoli, Manuela Speranza, Andrew Yates, Simon Razniewski, Denilson Barbosa, Anne-Lyse Minard, Nitisha Jain and Werner Nutt and has published in prestigious journals such as ACM SIGIR Forum, View and Institutional Research Information System (Università degli Studi di Trento).

In The Last Decade

Paramita Mirza

21 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paramita Mirza Germany	10	317	59	50	18	17	22	335
Diego Ceccarelli Italy	8	169 0.5×	47 0.8×	69 1.4×	16 0.9×	18 1.1×	17	209
Björn Buchhold Germany	9	227 0.7×	40 0.7×	69 1.4×	26 1.4×	27 1.6×	11	286
Hengtong Zhang United States	7	128 0.4×	31 0.5×	70 1.4×	21 1.2×	21 1.2×	10	199
Avirup Sil United States	12	525 1.7×	80 1.4×	88 1.8×	37 2.1×	52 3.1×	32	557
Tingwen Liu China	11	439 1.4×	67 1.1×	112 2.2×	14 0.8×	67 3.9×	48	495
Cristian Ursu United Kingdom	7	276 0.9×	21 0.4×	91 1.8×	18 1.0×	7 0.4×	9	309
Lijun Liu China	6	173 0.5×	22 0.4×	48 1.0×	12 0.7×	19 1.1×	28	262
Itziar Aldabe Spain	8	296 0.9×	42 0.7×	65 1.3×	32 1.8×	22 1.3×	30	329
Kuldeep Singh Germany	10	184 0.6×	39 0.7×	55 1.1×	26 1.4×	23 1.4×	25	238
Hristo Tanev Italy	11	509 1.6×	24 0.4×	142 2.8×	22 1.2×	10 0.6×	46	548

Countries citing papers authored by Paramita Mirza

Since Specialization

Citations

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

Fields of papers citing papers by Paramita Mirza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paramita Mirza

This figure shows the co-authorship network connecting the top 25 collaborators of Paramita Mirza. A scholar is included among the top collaborators of Paramita Mirza 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 Paramita Mirza. Paramita Mirza 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:

20 of 20 papers shown

1.

Mirza, Paramita, et al.. (2021). Exploring Personal Knowledge Extraction from Conversations with CHARM. 109. 1077–1080. 3 indexed citations

2.

Mirza, Paramita, et al.. (2021). AligNarr: Aligning Narratives on Movies. 427–433. 2 indexed citations

3.

Yates, Andrew, et al.. (2020). CHARM: Inferring Personal Attributes from Conversations. 5391–5404. 10 indexed citations

4.

Mirza, Paramita, et al.. (2019). KnowledgeNet: A Benchmark Dataset for Knowledge Base Population. INFM-OAR (INFN Catania). 749–758. 25 indexed citations

5.

Balalau, Oana, et al.. (2019). Discovering the Functions of Language in Online Forums. 259–264. 1 indexed citations

6.

Yates, Andrew, et al.. (2019). RedDust: a Large Reusable Dataset of Reddit User Traits. MPG.PuRe (Max Planck Society). 6118–6126. 4 indexed citations

7.

Yates, Andrew, et al.. (2019). Listening between the Lines: Learning Personal Attributes from Conversations. 1818–1828. 22 indexed citations

8.

Razniewski, Simon, Nitisha Jain, Paramita Mirza, & Gerhard Weikum. (2019). Coverage of Information Extraction from Sentences and Paragraphs. 6 indexed citations

9.

Mirza, Paramita, et al.. (2018). KOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents. 81–87. 2 indexed citations

10.

Mirza, Paramita, et al.. (2018). EMOFIEL. 243–246. 4 indexed citations

11.

Mirza, Paramita, et al.. (2017). Cardinal Virtues: Extracting Relation Cardinalities from Text. 347–351. 9 indexed citations

12.

Mirza, Paramita, Simon Razniewski, & Werner Nutt. (2016). Expanding Wikidata's Parenthood Information by 178%, or How To Mine Relation Cardinality Information.. View. 2 indexed citations

13.

Mirza, Paramita, Simon Razniewski, & Werner Nutt. (2016). Expanding Wikidata's Parenthood Information by 178%, or How To Mine Relation Cardinalities. MPG.PuRe (Max Planck Society). 3 indexed citations

14.

Mirza, Paramita & Sara Tonelli. (2016). On the contribution of word embeddings to temporal relation classification. MPG.PuRe (Max Planck Society). 2818–2828. 12 indexed citations

15.

Mirza, Paramita & Sara Tonelli. (2016). CATENA: CAusal and TEmporal relation extraction from NAtural language texts. MPG.PuRe (Max Planck Society). 64–75. 56 indexed citations

16.

Mirza, Paramita & Anne-Lyse Minard. (2015). HLT-FBK: a Complete Temporal Processing System for QA TempEval. 801–805. 5 indexed citations

17.

Mirza, Paramita, Rachele Sprugnoli, Sara Tonelli, & Manuela Speranza. (2014). Annotating Causality in the TempEval-3 Corpus. Institutional Research Information System (Università degli Studi di Trento). 10–19. 43 indexed citations

18.

Mirza, Paramita & Sara Tonelli. (2014). An Analysis of Causality between Events and its Relation to Temporal Information. Institutional Research Information System (Università degli Studi di Trento). 2097–2106. 52 indexed citations

19.

Mirza, Paramita. (2014). Extracting Temporal and Causal Relations between Events. 10–17. 50 indexed citations

20.

Mirza, Paramita & Raffaella Bernardi. (2013). CCG Categories for Distributional Semantic Models. View. 467–474.

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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