Luis Lastras

1.5k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Luis Lastras is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Luis Lastras has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Luis Lastras's work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Speech and dialogue systems (6 papers). Luis Lastras is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Speech and dialogue systems (6 papers). Luis Lastras collaborates with scholars based in United States, Israel and Ireland. Luis Lastras's co-authors include Michele Franceschini, Moinuddin K. Qureshi, J. P. Karidis, Vijayalakshmi Srinivasan, Bülent Abali, Ashish Jagmohan, Thomas Berger, André Seznec, Song Feng and Chulaka Gunasekara and has published in prestigious journals such as IEEE Transactions on Information Theory, HAL (Le Centre pour la Communication Scientifique Directe) and ACM SIGARCH Computer Architecture News.

In The Last Decade

Luis Lastras

22 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Enhancing lifetime and security of PCM-based main memory with start-gap wear leveling

2009 614 citations Moinuddin K. Qureshi, J. P. Karidis et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luis Lastras United States	12	769	735	472	191	128	24	1.1k
Wim Heirman Belgium	15	958 1.2×	1.2k 1.6×	541 1.1×	103 0.5×	175 1.4×	66	1.4k
Hongzhong Zheng United States	16	607 0.8×	722 1.0×	578 1.2×	177 0.9×	192 1.5×	51	1.1k
Suvinay Subramanian United States	15	694 0.9×	431 0.6×	342 0.7×	122 0.6×	180 1.4×	23	939
Carl Ramey United States	5	867 1.1×	740 1.0×	464 1.0×	95 0.5×	51 0.4×	7	1.0k
Elliott Cooper-Balis United States	7	732 1.0×	801 1.1×	369 0.8×	120 0.6×	150 1.2×	7	1.0k
Amirali Boroumand United States	12	601 0.8×	690 0.9×	694 1.5×	217 1.1×	143 1.1×	17	1.2k
L. A. Lastras-Montaño United States	13	584 0.8×	413 0.6×	382 0.8×	102 0.5×	69 0.5×	48	775
Pejman Lotfi-Kamran Iran	17	850 1.1×	821 1.1×	495 1.0×	106 0.6×	183 1.4×	48	1.2k
Nuwan Jayasena United States	18	1.1k 1.4×	1.2k 1.6×	417 0.9×	127 0.7×	238 1.9×	33	1.5k
Michele Franceschini United States	18	1.3k 1.7×	1.1k 1.5×	945 2.0×	120 0.6×	183 1.4×	52	1.7k

Countries citing papers authored by Luis Lastras

Since Specialization

Citations

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

Fields of papers citing papers by Luis Lastras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Lastras

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

Kingsbury, Brian, George Saon, Samuel Thomas, et al.. (2025). A Non-autoregressive Model for Joint STT and TTS. 1–5. 1 indexed citations

2.

Abdelaziz, Ibrahim, Asim Munawar, Vernon Austel, et al.. (2024). API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. 12859–12870. 3 indexed citations

3.

Joshi, Sachindra, et al.. (2023). Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. 10335–10347. 2 indexed citations

4.

Wu, Qingyang, Song Feng, Derek Chen, et al.. (2022). DG2: Data Augmentation Through Document Grounded Dialogue Generation. 204–216. 5 indexed citations

5.

Feng, Song, et al.. (2021). Does Structure Matter? Encoding Documents for Machine Reading Comprehension. 4626–4634. 4 indexed citations

6.

Fadnis, Kshitij, et al.. (2021). Doc2Bot: Document grounded Bot Framework. Proceedings of the AAAI Conference on Artificial Intelligence. 35(18). 16026–16028. 1 indexed citations

7.

Feng, Song, et al.. (2020). doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset. 8118–8128. 57 indexed citations

8.

Fadnis, Kshitij, Haggai Roitman, Gaurav Pandey, et al.. (2020). Agent Assist through Conversation Analysis. 151–157. 2 indexed citations

9.

Kim, Najoung, Song Feng, Chulaka Gunasekara, & Luis Lastras. (2020). Implicit Discourse Relation Classification: We Need to Talk about Evaluation. 5404–5414. 18 indexed citations

10.

Lastras, Luis. (2018). Information Theoretic Generative Modeling. 1 indexed citations

11.

Ho, Tin Kam, Luis Lastras, & Oded Shmueli. (2016). Concept Evolution Modeling Using Semantic Vectors. 45–46. 1 indexed citations

12.

Qureshi, Moinuddin K., Michele Franceschini, Ashish Jagmohan, & Luis Lastras. (2012). PreSET. ACM SIGARCH Computer Architecture News. 40(3). 380–391. 122 indexed citations

13.

Qureshi, Moinuddin K., André Seznec, Luis Lastras, & Michele Franceschini. (2011). Practical and secure PCM systems by online detection of malicious write streams. HAL (Le Centre pour la Communication Scientifique Directe). 478–489. 74 indexed citations

14.

Rajendran, Bipin, R. Cheek, Luis Lastras, et al.. (2011). Demonstration of CAM and TCAM Using Phase Change Devices. 1–4. 25 indexed citations

15.

Dube, Parijat, et al.. (2010). Architectural design for next generation heterogeneous memory systems. 1–4. 24 indexed citations

16.

Qureshi, Moinuddin K., J. P. Karidis, Michele Franceschini, et al.. (2009). Enhancing lifetime and security of PCM-based main memory with start-gap wear leveling. 14–23. 614 indexed citations breakdown →

17.

Lastras, Luis & V. Castelli. (2006). Near sufficiency of random coding for two descriptions. IEEE Transactions on Information Theory. 52(2). 681–695. 13 indexed citations

18.

Lastras, Luis. (2003). An almost sure convergence proof of the sliding-window Lempel-Ziv algorithm. 121–121. 4 indexed citations

19.

Lastras, Luis & Thomas Berger. (2002). On the refinement of the binary symmetric Markov source. 195–195. 2 indexed citations

20.

Lastras, Luis & Thomas Berger. (2001). All sources are nearly successively refinable. IEEE Transactions on Information Theory. 47(3). 918–926. 51 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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